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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26210
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MODEL
0-mlp-sm
Source/SAE
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Explanations
mentions of Poland and associated geographical references
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
ctigges/pythia-70m-deduped__mlp-sm_processed/0-mlp-sm
How To Load
Prompts (Dashboard)
32,768 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
32,768
Data Type
torch.float32
Hook Name
blocks.0.hook_mlp_out
Hook Layer
0
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
71
+0.15
0.9%
369
+0.13
0.7%
246
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
71
+0.15
0.01
511
+0.13
0.01
54
+0.11
0.01
Negative Logits
ĥ½
-2.85
ľ
-2.54
¶
-2.54
Ĩ
-2.52
Ķ
-2.48
¾
-2.42
į
-2.36
Ŀ
-2.29
ĵ
-2.27
ĺ
-2.27
POSITIVE LOGITS
borg
1.71
lei
1.67
bolt
1.65
leen
1.61
une
1.60
shire
1.58
istine
1.58
recognizes
1.56
illac
1.56
emaker
1.55
Act
ivations
Density 0.081%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations